Update iterate_data

Summary:

Test Plan:
This commit is contained in:
Pedro Rodriguez 2025-03-13 00:23:54 +00:00
parent c110f6be2a
commit ae3b2cd8eb

View file

@ -8,10 +8,16 @@ from bytelatent.data.iterators.multiprocess_iterator import MultiprocessIterator
from bytelatent.logger import init_logger
def main(state_file: str):
def main(
state_file: str,
steps: int = 3_000,
io_thread_count: int = 2,
cpu_count: int = 2,
log_freq: int = 100,
):
init_logger()
pyarrow.set_io_thread_count(4)
pyarrow.set_cpu_count(4)
pyarrow.set_io_thread_count(io_thread_count)
pyarrow.set_cpu_count(cpu_count)
with open(state_file) as f:
train_state = json.load(f)
dl_state = MultiprocessIteratorState(**train_state["data_loader_state"])
@ -20,10 +26,13 @@ def main(state_file: str):
packing_iterator = packing_iterator_state.build()
print("iter")
batch_iter = packing_iterator.create_iter()
batch = None
print("looping")
for i in track(range(1_000)):
batch = next(batch_iter)
for i in track(range(steps)):
_ = next(batch_iter)
if i % log_freq == 0:
print(pyarrow.default_memory_pool())
print(i)
print(pyarrow.default_memory_pool())
if __name__ == "__main__":